Personalized intelligent clothes matching recommendation method combined with knowledge graph

A knowledge graph, smart clothing technology, applied in the field of personalized smart clothing matching recommendation, can solve the problems of uninterpretable recommendation, cold start, data sparse, etc.

Active Publication Date: 2021-04-06
CHONGQING UNIV OF POSTS & TELECOMM
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Problems solved by technology

However, there are still a series of problems in the traditional recommendation system, such as low

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  • Personalized intelligent clothes matching recommendation method combined with knowledge graph
  • Personalized intelligent clothes matching recommendation method combined with knowledge graph
  • Personalized intelligent clothes matching recommendation method combined with knowledge graph

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[0053]Next, the technical solutions in the embodiments of the present invention will be apparent from the embodiment of the present invention, and it is clearly described, and it is understood that the described embodiments are merely embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, there are all other embodiments obtained without making creative labor without making creative labor premises.

[0054]The main idea of ​​the present invention includes first acquiring information of user and clothing; constructing a knowledge map; combining knowledge maps and recommended systems; gives the final item recommendation result; the resulting item is calculated by similarity formula The matching index gives the final set recommendation.

[0055]A personalized intelligent clothing combined with knowledge maps,figure 1 A knowledge map diagram of the present embodiment, in a preferred embodiment, the method comprises, but is not limit...

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Abstract

The invention relates to the technical field of recommendation systems, in particular to a personalized intelligent clothes matching recommendation method in combination with a knowledge graph, which comprises the following steps: acquiring clothes commodity information and user clothing interaction information of an e-commerce platform, and constructing the knowledge graph; modeling the knowledge graph, and learning each entity and relationship in the knowledge graph to obtain an entity vector and a relationship vector; combining the entity vector and the relationship vector with a hybrid recommendation system, and performing score prediction on the single clothing to obtain a clothes single recommendation result; and calculating a matching index of every two clothes single items, automatically matching the two clothes single items with high matching indexes, performing score prediction, and performing a final TOP-N suit recommendation result according to scores. Online clothes suit recommendation is more intelligent.

Description

technical field [0001] The invention relates to the technical field of recommendation systems, in particular to a personalized intelligent clothing collocation recommendation method combined with knowledge graphs. Background technique [0002] With the rapid development of mobile Internet and the wide application of e-commerce, various e-commerce platforms have emerged one after another, such as Taobao, Jingdong, Tmall, Vipshop, etc. However, with the development of the information age, most websites are facing the problems of information overload and information lost, so to address these two problems, the recommendation system came into being. [0003] Among them, the recommendation system also plays an important role on various Internet platforms. Through the recommendation system, users can more efficiently and quickly find products or information that they are interested in or have potential interests in. Based on the user's historical behavior information, the recommen...

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Application Information

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IPC IPC(8): G06F16/9536G06Q30/06G06F16/36
CPCG06F16/9536G06Q30/0631G06F16/367
Inventor 唐宏范森朱龙娇刘红梅
Owner CHONGQING UNIV OF POSTS & TELECOMM
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